hmm: A hidden markov model library

[ algorithms, bsd3, data-mining, library, machine-learning ] [ Propose Tags ]

Data.HMM is a library for using Hidden Markov Models with Haskell. Commonly used algoriths (i.e. the forward and backwards algorithms, Viterbi, and Baum-Welch) are implemented. The best way to learn to use it is to visit the tutorial at The tutorial also includes performance benchmarks that you should be aware of.

Versions 0.1, 0.1.1, 0.2.1,
Dependencies array, base (==4.*), data-memocombinators, list-extras, logfloat [details]
License BSD-3-Clause
Author Mike Izbicki
Category Algorithms, Data mining, Machine learning
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Uploaded by MikeIzbicki at Mon Mar 26 19:37:56 UTC 2012
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